Working with Time: a line chart

Working with Time

A line chart displays temperature readings over the course of a week in San Francisco, using a smooth curved path to emphasize trends. The visualization employs React to render SVG elements, with D3 v5 scales (scaleTime and scaleLinear) mapping timestamps and temperatures, while reusable axis components generate tick marks. Data is loaded asynchronously via d3.csv from an external URL, and the brush-free chart includes hover tooltips on circles for precise time values.

Ccynichole

Working with Time

A line chart displays temperature measurements over the course of a week in San Francisco, with circles marking each data point. The visualization uses React components for rendering SVG elements and D3 v5 scales, including `scaleTime` for the x-axis and `scaleLinear` for the y-axis. The line path is generated with D3's `line()` function and `curveNatural` interpolation, while data is loaded as CSV from a remote gist and parsed with custom row conversion.

MMichael Bruno

Working with time

A line chart displays temperature readings over a week in San Francisco, using a smooth natural curve to connect hourly data points. The visualization loads CSV data via `d3.csv`, maps timestamps with `scaleTime` and temperatures with `scaleLinear`, and renders axes and marks as SVG elements through React components. The chart shows the full week on the x-axis with abbreviated weekday labels and temperature on the y-axis, enabling a clear view of daily temperature fluctuations across the period.

Ppatasky

Working with time

A line chart displays temperature readings over a week, with time on the horizontal axis and temperature on the vertical axis. The visualization uses React to render SVG elements, with D3’s `scaleTime` and `scaleLinear` for scaling, `line` with `curveNatural` for the smoothed path, and `extent` to compute domains. Data comes from a CSV of San Francisco temperatures. Axis components generate ticks using `xScale.ticks()` and `yScale.ticks()`.

Ssophievanderhorst

Working with Time

A line chart visualizes temperature over time for one week in San Francisco, with each day’s timestamp plotted along the x-axis and temperature along the y-axis. React renders SVG elements, while d3.scaleTime, d3.scaleLinear, d3.extent, and d3.line with curveNatural generate the axes and smooth path. Circles mark individual data points, and hover reveals the day via d3.timeFormat. The dataset is loaded as CSV using d3.csv from a GitHub gist.

MMario Ibarra

Working with Time

A line chart shows temperature readings over one week in San Francisco, with a smooth curve connecting daily data points and circles marking each observation. The visualization uses React to render SVG elements, with D3.js scales handling time and linear mappings. The code employs `scaleTime`, `scaleLinear`, `extent`, and `timeFormat` for axis ticks, while `line` and `curveNatural` generate the curved path. Data comes from a CSV dataset of hourly temperatures, loaded via `csv` and parsed into `Date` objects.

KKazushige Okuma

Working with time

A line chart tracks temperature in San Francisco across a week, with individual data points marked as circles. The x-axis displays time using abbreviated weekday labels, while the y-axis shows temperature values. Built with React and D3 v7, the visualization uses `scaleTime` and `scaleLinear` to map data, `line()` with `curveNatural` to draw the smoothed path, and SVG elements for rendering. Data comes from a CSV file loaded via `d3.csv`.

FFrederick O'Brien

Working With Time

A line chart displays temperature readings over one week in San Francisco, with time on the horizontal axis and temperature on the vertical axis. The chart uses D3 v7 scales, including `scaleTime` for the time axis and `scaleLinear` for temperature, while React components render the SVG axes and marks. The data is loaded via `d3.csv` from a remote CSV file, and the line path uses `d3.line` with `curveNatural` for smooth interpolation, with circles overlaid for each data point and tooltips showing the day of the week.

CChinedu Ozodi